Photographic Examination of Student Lunches in Schools Using the Balanced School Day Versus Traditional School Day Schedules
Bibliographic record
Abstract
Background. Canadian schools have broadly adopted a schedule where school days are divided into 3 blocks with 2 breaks. Given childhood obesity rates, changes affecting diet should be examined. The aim of this study was to (1) compare calories and composition of lunches from students attending schools, using different schedules; and (2) analyze elementary student lunches. Methods. Diary logs and photographs were taken of lunches on 4 days. Meals were analyzed using a nutrition software program, and differences between number of beverages, calories, and nutrients were examined for different schedules. Results. A total of 117 students (81% response rate) in grades 3 to 6 participated. Students using the Balanced School Day schedule had more beverages than the Traditional School Day schedule (BSD, 1.42; TSD, 1.18; P = .04). There were no other significant differences in nutritional content of food, based on schedule. In general, student lunches were high in sugar and salt and low in fiber, fruit, vegetables, vitamins, and minerals. Conclusions. Except beverages, the schedule did not affect student lunches. Parents/guardians should (1) increase fruits and vegetables, (2) limit desserts and snacks, (3) supply 1% or skim milk, (4) discontinue fruit juice and sugar-based beverages, and (5) increase higher-fiber, grain-based foods and legumes. These initiatives require community support.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".